Cooperative patterns or how to support Human-Cyber-Physical Systems cooperation

Pacaux‐Lemoine, Marie‐Pierre; Habib, Lydia; Berdal, Quentin; Trentesaux, Damien

doi:10.1109/smc52423.2021.9659128

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…The use of a method could promote such a cooperation by providing a common language and tools to understand each other and to gradually design the new human-machine system. Among several methods, we use one that has been defined with a focus on human-machine cooperation [1], especially when cooperative patterns have to be extracted [2]. Indeed, the objective of our project is to design a system able to support humans to control a robot through a Brain-Computer Interface (BCI) made up of only one electrode for the analysis of visual cortex signals, but trained with many users.…”

Section: Introductionmentioning

confidence: 99%

Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Pacaux‐Lemoine

Lauber

Didier

et al. 2022

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Brain-Computer Interface technology will be soon available to the general public. It would be to replace or compensate physical disability in the case of handicap. However, it would also be for all people looking for peaceful consciousness, to control environment from no other types of command but directly from the brain. Such a device that could be easily and quickly handled by untrained and novice users has been proposed by Mentalista. The company designed and trained a Brain-Computer Interface and in this paper, we propose a method to identify how such a device may be used to control a robot. The method proposes to identify the cooperative patterns that suit users' states and robot's abilities regarding the environment constraints. The Human-Machine Cooperation principles support the methodological approach.

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Section: Introductionmentioning

confidence: 99%